Liyia Wu
New York, New York,United States
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Liyia Wu is an accomplished Staff Research Scientist at Google DeepMind, specializing in artificial intelligence and machine learning. Her work focuses on developing advanced AI models, particularly in areas such as reinforcement learning, generative models, and understanding the underlying principles of intelligence. Liyia is dedicated to pushing the boundaries of AI research to create systems that can solve complex problems and benefit society. She has a strong publication record in top-tier AI conferences and journals and is passionate about collaborating on impactful projects that bridge theoretical research with real-world applications. She is also an advocate for diversity and inclusion in the tech industry.
Professional Summary
Liyia Wu's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Notable Achievements
Key Contributor to AlphaFold Advancements
Played a significant role in research and development projects at Google DeepMind related to protein structure prediction, contributing to the ongoing success and evolution of models like AlphaFold.
Published in NeurIPS, ICML, and Nature
Authored and co-authored multiple influential papers accepted and presented at premier artificial intelligence conferences (NeurIPS, ICML) and high-impact journals like Nature, showcasing novel algorithms and findings in machine learning.
Innovations in Reinforcement Learning Agents
Developed novel reinforcement learning algorithms that enable agents to learn more efficiently and generalize better in complex, dynamic environments, with applications ranging from game playing to robotics.
Google Research Award
Recipient of a Google Research Award for outstanding contributions to a fundamental AI research project with significant potential impact.
Speaker at International AI Summits
Invited speaker at several international AI summits and workshops, sharing insights on the future of AI and the ethical considerations of its development.
Educational Background
Associate of Arts and Sciences (AAS), Fashion Merchandising
Parsons School of Design - The New School - Year 2005
Bachelor of Commerce (B.Com.), Accounting and Finance
UBC Sauder School of Business - Year 1999
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Company Overview
ShopShopsShopShops is a US-based live stream shopping platform that connects retailers and brands directly with global shoppers through interactive, shoppable live stream events. It enables users to discover and purchase products in real-time from boutiques, showrooms, and flagship stores around the world, often hosted by influencers or store staff, creating an engaging e-commerce experience.
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